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Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval (1998)
by
David D. Lewis
| Citations: | 499 - 1 self |
BibTeX
@INPROCEEDINGS{Lewis98naive(bayes),
author = {David D. Lewis},
title = {Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval},
booktitle = {},
year = {1998},
pages = {4--15},
publisher = {Springer Verlag}
}
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Abstract
The naive Bayes classifier, currently experiencing a renaissance in machine learning, has long been a core technique in information retrieval. We review some of the variations of naive Bayes models used for text retrieval and classification, focusing on the distributional assump- tions made about word occurrences in documents.
